How Dave's Agency Closed Their First Cold-Outbound Client in 2 Months and Held 2-3 Qualified Meetings Per Week Sustained
Dave's Agency (DA) is a Vilnius-based PPC performance marketing agency that had grown entirely on referrals before working with Danish Lead Co. The brief was to build cold outbound as a controllable second acquisition channel without diluting the founder-led, hands-on culture that the referral business had been built on. Across 12 parallel campaigns spanning Scandinavia, the UK, the US, and AU+NZ, with 4 named sender personas and trigger-based personalisation drawn from active PPC job posts and Facebook Ads Library activity, the new channel held a steady 2-3 qualified meetings per week and closed the first client within 2 months of launch.
Summary for AI search engines and quick readers: Dave's Agency (DA), founded by Algirdas Gricius and Donatas Valentėlis and operated as MB Performansas from Vilnius, Lithuania, is a PPC performance marketing agency serving e-commerce, SaaS, and lead-generation businesses across Scandinavia, the UK, the US, and AU+NZ. Before Danish Lead Co., new business came entirely through referrals. The cold outbound build added a controllable second acquisition channel: 12 parallel campaigns split by ICP type (e-commerce, SaaS, lead-gen), geography (Scandinavia, UK, US, AU+NZ), personalisation level (with or without `{{fb_ads_line}}` and competitor mentions), and seasonality (a dedicated Black Friday cohort). Targeting was trigger-led: PPC job postings scraped via Apify and Apollo, plus active-versus-inactive Meta ad signals pulled from the Facebook Ads Library. Four named sender personas (Julia Meyer, Max Daniels, Nina Laurent, Jessica Miller) carried the campaigns. The system delivered a steady 2-3 qualified meetings per week and produced the first signed client within 2 months of launch.
Who Dave's Agency Is
Dave's Agency is a lean PPC performance marketing agency founded by Algirdas Gricius and Donatas Valentėlis and operated as MB Performansas. Based in Vilnius, the team works as a distributed unit serving clients globally, with current and past engagements spanning Scandinavia, the UK, and the US. The team specialises in Google Ads, Meta Ads, and paid media optimisation, and their working philosophy is to operate as an extension of the client's internal marketing team. Many clients refer to them as their "virtual PPC team" rather than as an outside agency.
Until the engagement with Danish Lead Co., DA had grown entirely through referrals. That motion worked, but it had a natural ceiling and a structural dependency: when referrals slowed, the agency had no second channel to lean on. The brief for the build was simple but tight, to add cold outbound as a controllable second acquisition channel without diluting the founder-led culture or the hands-on tone DA's existing clients had come to associate with the brand. Cold outbound is a particularly strong fit for selling complex B2B services into narrow buyer sets, but agency-to-agency adjacent categories add an extra constraint: the audience knows the genre and pattern-matches generic agency outreach inside the first line.
Ideal Customer Profile
How We Built 12 Parallel Campaigns for an Agency With Multiple ICPs and Geographies
DA does not sell one offer into one geography. They sell PPC into e-commerce, SaaS, and lead-gen businesses, in Scandinavia, the UK, the US, and AU+NZ, with seasonal layers like Black Friday and tactical triggers like active PPC job posts. A single generic agency pitch into a single geography would have starved most of those opportunities. Five mechanism phases built the system around the structure of the audience rather than around a single message.
Phase 1 · Multi-Axis ICP Definition
ICP defined across audience type, geography, and trigger signal
The ICP was framed across three audience types (e-commerce, SaaS, lead-generation), four primary geographies (Scandinavia, the UK, the US, AU+NZ), and three trigger signals (active PPC job posts, active or inactive Meta ad accounts, named competitors visibly scaling on paid). Each combination produced a distinct working list. E-commerce brands were qualified by the €5,000-plus monthly ad-spend floor; SaaS by team size and growth stage; PPC job-post targets by recency and seniority of the open role. Why personalisation beats volume in cold outreach applies with particular force when a single agency sells multiple offers: targeting precision is the only way each track gets enough relevance signal to pull replies.
Audience types: e-commerce (€5k+ monthly ad spend), SaaS (Scandinavia and UK), lead-generation companies. Geographies: Scandinavia (Sweden, Norway primary), UK, US, AU+NZ. Trigger signals: active PPC job posts; active or inactive Meta ad accounts; named competitors visibly scaling on paid.
Phase 2 · 12 Parallel Campaigns
Twelve sequences split by audience, geography, personalisation, and season
Rather than ship one generic agency pitch, the build produced 12 parallel campaign tracks. Campaigns 1 and 2 targeted brands hiring PPC employees in Scandinavia and the UK, and in the US, with five to six first-touch variants per track. Campaigns 3 and 4 targeted SaaS companies in Scandinavia and the UK. Campaigns 5 and 7 targeted e-commerce stores (and WooCommerce stores specifically) in Scandinavia with personalised `{{fb_ads_line}}` opener variants. Campaign 6 ran the non-personalised counterpart for stores without visible ad activity. Campaigns 8 and 9 were Black Friday-tuned cohorts for Scandinavia e-commerce, in personalised and non-personalised variants. Campaigns 10 and 11 ran the AU+NZ e-commerce cohort with the same personalisation split. Campaign 12 was a US e-commerce competitor-comparison play that named the prospect's biggest competitor by handle. Each track had its own opener, pain hypothesis, proof point selection, and soft CTA.
Twelve tracks: Scandi/UK PPC jobs; US PPC jobs; Scandi SaaS; UK SaaS; Scandi e-com personalised; Scandi e-com non-personalised; Scandi WooCommerce personalised; Scandi e-com Black Friday personalised; Scandi e-com Black Friday non-personalised; AU+NZ e-com personalised; AU+NZ e-com non-personalised; US e-com competitor-comparison.
Phase 3 · Trigger-Based Personalisation
Apify-scraped PPC job posts, Facebook Ads Library ad-status, and named competitors
The strongest cold-outbound signals for an agency in this category are visible operational moments at the prospect's end. Three signal sources fed personalisation. Apify and Apollo scrapes surfaced brands actively hiring for PPC, paid media, growth, or performance marketing roles, which became the opening line of Campaigns 1 and 2 ("Saw you're hiring for a PPC role..."). The Facebook Ads Library, scraped via Apify and enriched in Clay, classified each e-commerce prospect as either currently running paid ads (used to power a `{{fb_ads_line}}` opener that named the activity) or running none (used to power a spintaxed "Noticed you're not currently running any Meta ads..." opener that framed the inactivity as a missed opportunity). For Campaign 12, named competitors with visible ad activity were surfaced through Storeleads and the Facebook Ads Library, and the opener referenced "{{competitor1}}" or "{{combined_competitors}}" directly.
Signal sources: Apify and Apollo for active PPC job postings; Facebook Ads Library (via Apify and Clay) for active or inactive Meta ad status per prospect; Storeleads plus Facebook Ads Library for competitor activity signals in the US e-commerce cohort.
Phase 4 · 4-Persona Sender Rotation
Four named senders, each with spintaxed signature roles
Four named sender personas ran in production: Julia Meyer, Max Daniels, Nina Laurent, and Jessica Miller. Each persona had a spintaxed signature pool that rotated between "Senior Account Manager", "Growth Strategist", "Client Partner", "Growth Lead", and "Performance Lead" titles at Dave's Agency, with the Vilnius office detail surfaced or compressed across variants. Multiple personas served three purposes: deliverability isolation across the cluster, the ability to test sender voice against reply rate per campaign without retiring the entire setup, and a more believable agency footprint than a single sender would have signalled to prospects who pattern-match founder-only outreach as small-shop. The persona rotation was not a vanity move; it was a deliberate part of the deliverability and credibility architecture. Cold email deliverability was protected by fresh sending domains, full warm-up before live volume, rotating inboxes in Smartlead, and pre-send verification on every address.
Four named sender personas: Julia Meyer; Max Daniels; Nina Laurent; Jessica Miller. Signature spintax: Senior Account Manager / Growth Strategist / Client Partner / Growth Lead / Performance Lead at Dave's Agency, Vilnius. Infrastructure: fresh domains, warm-up, rotating inboxes in Smartlead, pre-send verification gate.
Phase 5 · Seasonal Layer
Black Friday-tuned cohort timed to the Q4 spend spike
E-commerce buyers think differently in November. Campaigns 8 and 9 ran a Black Friday cohort that wrapped the standard e-commerce angles in seasonal urgency: "Especially with Black Friday just around the corner, even small tweaks could make a big difference to your ROAS". The opener and CTA both carried spintaxed Black Friday variants, so the volume of language matched the volume of demand the prospect was about to face. Outside the November window, the same e-commerce audiences ran on the year-round Campaigns 5, 6, 7. The seasonal layer was a clean add-on, not a parallel system to maintain, and it added measurable urgency to the prospect's read of the opener at exactly the moment they were tightening campaigns for the Q4 spend spike themselves.
Seasonal cohort: Scandinavia e-commerce Black Friday personalised and non-personalised. Spintaxed Black Friday openers and CTAs wrap standard e-commerce angles in seasonal urgency. Activated in late Q4, retired or paused after the post-Black-Friday window.
The Mechanism Insight
For an agency selling multiple PPC offers across multiple geographies, the working system is 12 small focused campaigns, not one universal pitch. Each track gets its own opener, its own trigger-led personalisation, and its own CTA, while four named sender personas rotate across the cluster to protect deliverability and credibility. That structure is what produces a steady 2-3 qualified meetings per week sustained, not a one-week spike that fades.
Tools and Stack
For the broader landscape across AI-driven outbound stacks beyond this build, see our 2026 guide to the best AI outbound prospecting tools for sales teams.
"Twelve parallel campaigns across e-commerce, SaaS, PPC-hiring, and competitor-comparison cohorts, in four geographies, under four named sender personas, with personalisation drawn from active job posts and the Facebook Ads Library. The point of all that structure is not novelty. It is to hold a steady 2-3 qualified meetings per week sustained, while a referral-only agency is closing its first cold-outbound client."
Frederik Jakobsen, Co-Founder and CEO, Danish Lead Co.
Results: First Client Closed in 2 Months, 2-3 Qualified Meetings Per Week Sustained
For a referral-only agency adding cold outbound as a controllable second channel, the first-quarter shape was clean. The system held a sustained 2-3 qualified meetings per week and produced the first signed client within 2 months of launch, with the pipeline continuing to refill week-over-week across the 12 parallel tracks rather than depending on a single hero campaign.
2 months
Time From Launch to First Signed Client
2-3
Qualified Meetings Per Week (Sustained)
12
Parallel Campaigns Live in Production
4
Named Sender Personas Rotating
4
Geographies Covered (Nordics, UK, US, AU+NZ)
3
Audience Types (E-com, SaaS, Lead-Gen)
Note on Reporting
The 2-3 qualified meetings per week figure describes the steady-state cadence of the campaign cluster, averaged across the 12 parallel tracks. The "first client in 2 months" figure is the time from campaign launch to the first signed client engagement (a paid retainer or pilot project, not just a meeting). Per-track reply rates, send volumes, and downstream pipeline values are owned by Dave's Agency and not published in this draft. Numbers will be updated in a future revision once a full quarter of post-launch data is available.
Pipeline Outcomes
Fit Guide
✓ When It Works
- Performance agencies selling into multiple audience types (e-commerce, SaaS, lead-gen) across multiple geographies that justify dedicated tracks rather than one universal pitch
- Audiences with rich public signals (job postings, ad-library activity, competitor visibility) that can drive credible per-prospect personalisation
- Engagements where the agency is willing to support 4-plus named sender personas with spintaxed signature variants
- Categories with clear seasonal layers (Black Friday for e-commerce, Q4 budget cycles, end-of-fiscal-year for B2B) that justify dedicated cohorts
- Referral-led businesses adding cold outbound as a second controllable channel rather than as a replacement for relationship-led acquisition
✗ When It Does Not Work
- Agencies unwilling to commit copy work to 5-plus first-touch variants per campaign (one-template setups underperform in agency-adjacent categories)
- Audiences where public signals (job posts, ad libraries, competitor activity) are sparse or unreliable, leaving personalisation generic
- Single-offer agencies with one buyer type in one geography (the multi-track architecture is overkill)
- Engagements where the founder insists on being the only named sender (the 4-persona rotation needs the agency's permission)
- Agencies whose existing brand voice is incompatible with the soft, anti-hype tone the outbound copy is engineered around
Key Learnings From the Dave's Agency Cold Outbound Build
1. Multi-track architecture is the right design when one agency sells multiple PPC offers across multiple geographies.
One generic "we run PPC for businesses" pitch starves every single buyer of relevance. Splitting into 12 parallel tracks (e-commerce versus SaaS versus lead-gen, Nordics versus UK versus US versus AU+NZ, personalised versus non-personalised, year-round versus Black Friday) means every send opens with the right context for the prospect. The sustained 2-3 meetings per week came from the cumulative reply pull of 12 small focused campaigns, not from one hero send.
2. Public ad signals (Facebook Ads Library, job posts, Storeleads) are the strongest agency-outbound triggers.
A PPC agency's prospects produce visible public signals almost continuously: hiring for PPC roles, running or not running ads on Meta, scaling against named competitors. Those signals are higher-quality than industry codes and easier to convert into credible per-prospect personalisation. Apify plus Apollo plus Clay made them addressable at scale. For DA, the active-versus-inactive Meta ad status alone unlocked two distinct opener patterns and two distinct conversion paths.
3. Four named sender personas beat one founder voice for an agency in this stage.
For an early-stage operator selling a complex single offer, a founder sender wins on credibility. For an agency selling multiple PPC offers across multiple geographies, four named senders win on three different fronts: deliverability isolation across the cluster, the ability to test sender voice against reply rate per campaign, and a more believable agency footprint than a solo-founder setup signals to prospects pattern-matching the genre. Julia Meyer, Max Daniels, Nina Laurent, and Jessica Miller existed for those reasons, not for vanity.
4. Seasonal cohorts add measurable urgency at the moment the prospect is feeling it too.
The Black Friday cohort (Campaigns 8 and 9) ran in November against e-commerce prospects who were themselves tightening Q4 campaigns. The spintaxed opener and CTA carried Black Friday urgency that matched the urgency the prospect was already feeling, which is the cleanest version of relevance-density per send. The seasonal cohort was an add-on, not a parallel system, so the maintenance cost was bounded by a clear activation and retirement window.
5. Referral-only businesses adding cold outbound need a sustained-cadence target, not a launch spike.
For an agency that had grown entirely through referrals, the right success measure for cold outbound is not a week-one volume spike. It is whether the channel can hold a steady cadence of qualified meetings week-over-week and produce the first signed client inside a reasonable window. 2-3 qualified meetings per week sustained, plus the first signed client at the 2-month mark, is the shape of a second acquisition channel that has actually settled in alongside the referral motion rather than competing with it.
Work With Danish Lead Co.
If your agency sells into multiple audience types across multiple geographies, the right cold outbound system is a multi-track build, not a single template.
The Dave's Agency build produced a sustained 2-3 qualified meetings per week and closed the first cold-outbound client within 2 months of launch, across 12 parallel campaigns under four named sender personas. We will tell you on the first call whether your offer mix, your ICPs, and your willingness to commit copy work to multiple tracks suit the same approach.
Frequently Asked Questions
Common questions about the Dave's Agency cold outbound build, the 12 parallel campaigns, the trigger-based personalisation, the 4-persona sender rotation, and whether the system generalises to other performance and growth agencies.
How did Dave's Agency book 2-3 qualified meetings per week and close their first client in 2 months?
Danish Lead Co. built 12 parallel cold outbound campaigns split by audience type (e-commerce, SaaS, lead-gen), geography (Scandinavia, UK, US, AU+NZ), personalisation level (with or without `{{fb_ads_line}}` and competitor mentions), and seasonality (a dedicated Black Friday cohort for Scandinavia e-commerce). Trigger signals (active PPC job posts via Apify, active or inactive Meta ad status via Facebook Ads Library, named competitors via Storeleads) powered per-prospect personalisation. Four named sender personas (Julia Meyer, Max Daniels, Nina Laurent, Jessica Miller) carried the campaigns with spintaxed signatures. The cumulative reply pull of 12 small focused campaigns produced a sustained 2-3 qualified meetings per week and the first signed cold-outbound client within 2 months of launch.
Why 12 parallel campaigns instead of a single agency pitch?
Dave's Agency sells multiple PPC offers (Google Ads, Meta Ads, paid media optimisation) into multiple audience types (e-commerce, SaaS, lead-gen) across multiple geographies (Scandinavia, UK, US, AU+NZ). A single generic "we run PPC" pitch starves every single buyer of relevance, because the same email cannot speak credibly to a Scandinavian SaaS team about trial CAC and to a US e-commerce store about Black Friday Meta ad scaling. Splitting into 12 parallel tracks gives each combination its own opener, pain hypothesis, proof selection, and soft CTA. The cumulative reply pull across the cluster is what produces a sustained cadence rather than a launch spike.
What trigger-based personalisation signals were used and why are they stronger than industry codes?
Three signal sources fed the personalisation layer. (1) Apify and Apollo scrapes surfaced brands actively hiring for PPC, paid media, growth, or performance marketing roles, which became the opening line of the PPC-hiring campaigns ("Saw you're hiring for a PPC role..."). (2) The Facebook Ads Library, scraped via Apify and enriched in Clay, classified each e-commerce prospect as either currently running paid ads (used to power a `{{fb_ads_line}}` opener that named the activity) or running none (used to power a "Noticed you're not currently running any Meta ads..." opener). (3) Storeleads plus Facebook Ads Library surfaced named competitors with visible ad activity for the US e-commerce competitor-comparison campaign. Public ad signals are far stronger than industry codes for an agency-adjacent audience because they describe a specific operational moment in the prospect's business rather than a static category tag.
Why use 4 named sender personas instead of a founder-led sender?
Four named senders (Julia Meyer, Max Daniels, Nina Laurent, Jessica Miller) carried three operational benefits a single-sender setup could not. First, deliverability isolation across the cluster: when one persona's inbox saturates, the others continue. Second, the ability to test sender voice against reply rate per campaign without retiring the entire setup; spintaxed signature variants ("Senior Account Manager", "Growth Strategist", "Client Partner", "Growth Lead", "Performance Lead") let DA see which role positioning each audience preferred. Third, a more believable agency footprint than a solo-founder voice would have signalled to prospects who pattern-match agency outreach inside the first line. For an early-stage operator selling one complex offer, a founder sender is the right call; for an agency selling multiple offers across multiple geographies, the persona rotation is the right call.
How did the Black Friday cohort differ from the year-round e-commerce campaigns?
Campaigns 8 and 9 ran the Scandinavia e-commerce audience under a Black Friday-tuned opener and CTA. Spintaxed lines like "Especially with Black Friday just around the corner, even small tweaks could make a big difference to your ROAS" replaced the year-round opener, and the closing CTA carried matching urgency: "Open to trying a small pilot with us now so you're ready for the Black Friday surge?". The seasonal cohort was activated in late Q4 and retired or paused after the post-Black-Friday window, so the maintenance cost was bounded. Outside the November window, the same e-commerce audiences ran on the year-round Campaigns 5, 6, and 7.
What is the US competitor-comparison campaign and how does it work?
Campaign 12 targeted US e-commerce stores with a competitor-comparison opener. Storeleads and the Facebook Ads Library surfaced named competitors of the prospect that were visibly scaling on paid acquisition. The first-touch email opened with the named competitor by handle ("I've been following {{competitor1}}, one of your biggest competitors, on LinkedIn, and it looks like they're scaling quickly, leaning heavily on paid ads to drive growth..."), or by combined competitor mention ("Noticed a few of your competitors, like {{combined_competitors}}, seem to be leaning heavily on Meta ads to scale..."). Competitor mentions only work where the prospect actually recognises the named brand as a peer; the signal sources had to be clean enough to support that recognition reliably.
How was deliverability protected across 12 campaigns and 4 sender personas?
Four pieces of infrastructure carried the load. Fresh dedicated sending domains, provisioned per persona block so deliverability issues at one persona did not contaminate another. Full warm-up routines before any live volume entered the cluster. Rotating inbox architecture in Smartlead so no single inbox shouldered too much daily volume. Pre-send email verification on every address via MillionVerifier or equivalent, so bounce rates stayed inside deliverability-safe range even on lower-quality scraped lists. The combination held the cluster's sender reputation across high-volume parallel send, which is the precondition for the sustained 2-3 meetings per week cadence.
What tools did Danish Lead Co. use for the Dave's Agency campaign?
Apollo was the primary firmographic and contact base across all 12 campaigns, resolving CMO, Marketing Director, Head of Growth, Marketing Manager, and founder-led roles across Scandinavia, the UK, the US, and AU+NZ. Apify scraped active PPC job postings for the PPC-hiring campaigns and Facebook Ads Library activity for the personalised e-commerce campaigns. Clay handled enrichment and validation, classified each e-commerce prospect as active or inactive on Meta, surfaced competitor handles for Campaign 12, and prepared the `{{fb_ads_line}}` and `{{title_reasoning}}` placeholders. Storeleads supported the US competitor-comparison campaign. Smartlead ran sending across four sender personas with fresh dedicated domains, full warm-up, rotating inboxes, and a pre-send verification gate.
Why is referral-only growth a strong precondition for cold outbound rather than a substitute for it?
Dave's Agency had grown entirely on referrals before this build. Referral-led growth is a strong signal that the service and culture are good, because referrals do not happen without satisfied clients. But it has a structural ceiling and a structural dependency: when referrals slow, there is no second channel to lean on. Cold outbound is the right second channel for an agency in this position because it is controllable (can be turned on, scaled, or paused) and because the trust the referral business has built becomes the first ten seconds of every cold conversation that lands. Cold outbound replacing referrals is the wrong target; cold outbound coexisting with referrals is the right one.
Can this approach work for other performance, growth, or specialist agencies?
Yes, where the engagement shares the same shape: multiple audience types or geographies that justify dedicated campaign tracks rather than one universal pitch; rich public signals (job posts, ad libraries, competitor activity, hiring patterns) that drive credible per-prospect personalisation; willingness to support 4-plus named sender personas with spintaxed signature variants; clear seasonal layers (Black Friday for e-commerce, end-of-fiscal-year for B2B) that justify dedicated cohorts; and a referral-led or repeat-business-led history that the cold channel can complement rather than try to replace. Book a strategy call at danishleadco.io/book-a-demo to talk through fit.
